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This is a medium difficulty Machine Learning question, commonly asked during Technical Screen rounds at Google.

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This question is commonly asked for Data Scientist candidates at Google during technical interviews.

Address Overfitting with L1 Regularization in Regression

Last updated: Mar 29, 2026

Quick Overview

This question evaluates understanding of model overfitting, high-dimensional linear regression issues, and regularization concepts, specifically L1 (Lasso) sparsity and complexity control.

medium
Google
Machine Learning
Data Scientist

Google

Jul 12, 2025, 6:59 PM

Data Scientist

Technical Screen

Machine Learning

Linear Regression with Many Predictors and Few Observations

Scenario

You fit an ordinary least squares (OLS) linear regression with 500 predictors (features) and 600 observations (rows).

Questions

What issue is likely to occur?
Why does it happen?
How can L1 regularization (Lasso) mitigate it?

Solution

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